Books in Computer vision and pattern recognition

61-70 of 71 results in All results

Image Processing and Pattern Recognition

• 1st Edition
• Volume 5
• December 11, 1997
• Cornelius T. Leondes
• English
• eBook 978-0-08-055144-9

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Image Processing and Pattern Recognition covers major applications in the field, including optical character recognition, speech classification, medical imaging, paper currency recognition, classification reliability techniques, and sensor technology. The text emphasizes algorithms and architectures for achieving practical and effective systems, and presents many examples. Practitioners, researchers, and students in computer science, electrical engineering, andradiology, as well as those working at financial institutions, will value this unique and authoritative reference to diverse applications methodologies.

Time-Varying Image Processing and Moving Object Recognition, 4

• 1st Edition
• July 25, 1997
• V. Cappellini
• English
• eBook 978-0-08-054306-2

  9 7 8 - 0 - 0 8 - 0 5 4 3 0 6 - 2

New digital image processing and recognition methods, implementation techniques and advanced applications (television, remote sensing, biomedicine, traffic, inspection, robotics, etc.) are presented in this volume. Novel approaches (i.e. digital filters, source coding, neural networks etc.) for solving 2-D and 3-D problems are described. Many papers focus on the motion estimation and tracking recognition of moving objects. The increasingly important field of Cultural Heritage is also covered. Some papers are more theoretical or of review nature, while others contain new implementations and applications. Generally the book presents - for the above outlined area - the state of the art (theory, implementation, applications) with future trends.This book will be of interest not only to researchers, professors and students in university departments of engineering, communications, computers and automatic control, but also to engineers and managers of industries concerned with computer vision, manufacturing, automation, robotics and quality control.

Proceedings IWISP '96, 4–7 November 1996; Manchester, UK

• 1st Edition
• November 8, 1996
• Basil G. Mertzios + 1 more
• English
• eBook 978-0-08-053976-8

  9 7 8 - 0 - 0 8 - 0 5 3 9 7 6 - 8

The papers in this volume focus on the most modern and critical aspects of Image and Signal Processing and related areas that have a significant impact in our society. The papers may be categorized in the following four major parts. Coding and Compression (image coding, image subband, wavelet coding and representation, video coding, motion estimation and multimedia); Image Processing and Pattern Recognition (image analysis, edge detection, segmentation, image enhancement and restoration, adaptive systems, colour processing, pattern and object recognition and classification); Fast Processing Techniques (computational methods, VLSI DSP architectures); Theory and Applications (identificiation and modelling, multirate filter banks, wavelets in image and signal processing, biomedical and industrial applications). The authors of these exceptionally high-quality papers form an interesting group, originating from the five continents, representing 33 countries.

Topological Algorithms for Digital Image Processing

• 1st Edition
• Volume 19
• July 17, 1996
• T.Y. Kong + 1 more
• English
• eBook 978-0-08-055204-0

  9 7 8 - 0 - 0 8 - 0 5 5 2 0 4 - 0

Basic topological algorithms are the subject of this new book. It presents their underlying theory and discusses their applications.Due to the wide variety of topics treated in the seven chapters, no attempt has been made to standardize the notation and terminology used by the authors. Each chapter, however, is self-contained and can be read independently of the others. Some of the basic terminology and fundamental concepts of digital topology are reviewed in the appendix which also describes important areas of the field. A bibliography of over 360 references is also provided.The notations and terminologies used in this book will serve to introduce readers to the even wider variety that exists in the voluminous literature dealing with topological algorithms.

Time-Varying Image Processing and Moving Object Recognition

• 1st Edition
• March 17, 1994
• V. Cappellini
• English
• Hardback 978-0-444-81467-8

  9 7 8 - 0 - 4 4 4 - 8 1 4 6 7 - 8
• eBook 978-1-4832-9025-6

  9 7 8 - 1 - 4 8 3 2 - 9 0 2 5 - 6

In the area of Digital Image Processing the new area of "Time-Varying Image Processing and Moving Oject Recognition" is contributing to impressive advances in several fields. Presented in this volume are new digital image processing and recognition methods, implementation techniques and advanced applications such as television, remote sensing, biomedicine, traffic, inspection, and robotics. New approaches (such as digital transforms, neural networks) for solving 2-D and 3-D problems are described. Many papers concentrate on motion estimation and recognition i.e. tracking of moving objects. Overall, the book describes the state-of-the-art (theory, implementation, applications) of this developing area, together with future trends. The work will be of interest not only to researchers, professors and students in university departments of engineering, communications, computers and automatic control, but also to engineers and managers of industries concerned with computer vision, manufacturing, automation, robotics and quality control.

Radiosity and Realistic Image Synthesis

• 1st Edition
• August 4, 1993
• Michael F. Cohen + 1 more
• English
• eBook 978-0-08-051567-0

  9 7 8 - 0 - 0 8 - 0 5 1 5 6 7 - 0

The goal of image synthesis is to create, using the computer, a visual experience that is identical to what a viewer would experience when viewing a real environment. Radiosity and Realistic Image Synthesis offers the first comprehensive look at the radiosity method for image synthesis and the tools required to approach this elusive goal. Basic concepts and mathematical fundamentals underlying image synthesis and radiosity algorithms are covered thoroughly. (A basic knowledge of undergraduate calculus is assumed). The algorithms that have been developed to implement the radiosity method ranging from environment subdivision to final display are discussed. Successes and difficulties in implementing and using these algorithms are highlighted. Extensions to the basic radiosity method to include glossy surfaces, fog or smoke, and realistic light sources are also described. There are 16 pages of full colour images and over 100 illustrations to explain the development and show the results of the radiosity method. Results of applications of this new technology from a variety of fields are also included.Michael Cohen has worked in the area of realistic image synthesis since 1983 and was instrumental in the development of the radiosity method. He is currently an assistant professor of computer science at Princeton University. John Wallace is a software engineer at 3D/EYE, Inc., where he is the project leader for the development of Hewlett-Packard's ATRCore radiosity and ray tracing library. A chapter on the basic concepts of image synthesis is contributed by Patrick Hanrahan. He has worked on the topic of image synthesis at Pixar, where he was instrumental in the development of the Renderman software. He has also led research on the hierarchical methods at Princeton University, where he is an associate professor of computer science. All three authors have written numerous articles on radiosity that have appeared in the SIGGAPH proceedings and elsewhere. They have also taught the SIGGRAPH course on radiosity for 5 years.

Pattern Recognition and Machine Learning

• 1st Edition
• July 14, 1992
• Y. Anzai
• English
• eBook 978-0-08-051363-8

  9 7 8 - 0 - 0 8 - 0 5 1 3 6 3 - 8

This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries.

Artificial Intelligence and Computer Vision

• 1st Edition
• June 1, 1991
• Y.A. Feldman + 1 more
• English
• eBook 978-0-444-59928-5

  9 7 8 - 0 - 4 4 4 - 5 9 9 2 8 - 5

Current research in artificial intelligence and computer vision presented at the Israeli Symposium are combined in this volume to present an invaluable resource for students, industry and research organizations. Papers have been contributed from researchers worldwide, showing the growing interest of the international community in the work done in Israel. The papers selected are varied, reflecting the most contemporary research trends.

The Art of Technical Documentation

• 1st Edition
• January 30, 1991
• Katherine Haramundanis
• English
• eBook 978-1-4831-8401-2

  9 7 8 - 1 - 4 8 3 1 - 8 4 0 1 - 2

The Art of Technical Documentation presents concepts, techniques, and practices in order to produce effective technical documentation. The book provides the definition of technical documentation; qualities of a good technical documentation; career paths and documentation management styles; precepts of technical documentation; practices for gathering information, understanding what you have gathered, and methods for testing documentation; and considerations of information representation, to provide insights on how different representations affect reader perception of your documents. Technical writers and scientists will find the book a good reference material.

Introduction to Statistical Pattern Recognition

• 2nd Edition
• September 28, 1990
• Keinosuke Fukunaga
• English
• Hardback 978-0-12-269851-4

  9 7 8 - 0 - 1 2 - 2 6 9 8 5 1 - 4
• eBook 978-0-08-047865-4

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This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology. Statistical decision and estimation, which are the main subjects of this book, are regarded as fundamental to the study of pattern recognition. This book is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field. Each chapter contains computer projects as well as exercises.